Abstract
The elements of a sample space may take diverse forms: real numbers, but also brands of components, colors, “good,” or “defective,” and so on. Because it is easier to work with real numbers, in this chapter we transform all the elementary outcomes into numerical values, by means of random variables. We consider the most important particular cases and define the main functions that characterize random variables.
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© 2008 Springer-Verlag New York
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Lefebvre, M. (2008). Random variables. In: Basic Probability Theory with Applications. Springer Undergraduate Texts in Mathematics and Technology . Springer, New York, NY. https://doi.org/10.1007/978-0-387-74995-2_3
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DOI: https://doi.org/10.1007/978-0-387-74995-2_3
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-74994-5
Online ISBN: 978-0-387-74995-2
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